{"id":"W2561662461","doi":"10.1212/wnl.86.16_supplement.p5.282","title":"TERI-DYNAMIC: Exploring the Impact of Teriflunomide on Immune Cell Population Size, Receptor Repertoire, and Function in Patients With RRMS (P5.282)","year":2016,"lang":"en","type":"article","venue":"Neurology","topic":"Reproductive System and Pregnancy","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Teriflunomide; Immune system; Population; Receptor; Medicine; Neuroscience; Immunology; Biology; Internal medicine; Multiple sclerosis; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004182271,0.0003130125,0.0006010403,0.0002196516,0.0001906835,0.0004013307,0.0002336535,0.000272993,0.001406483],"category_scores_gemma":[0.0002704905,0.0001572208,0.0002850164,0.0001697458,0.0001292361,0.0002546995,0.0001651771,0.0003773347,0.0003663619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002400452,"about_ca_system_score_gemma":0.000179596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002960649,"about_ca_topic_score_gemma":0.0004449653,"domain_scores_codex":[0.9998758,0.00002757426,0.000008805465,0.00004215955,0.00002190264,0.00002372486],"domain_scores_gemma":[0.9998388,0.00002570643,0.00005106666,0.00001355012,0.00001943532,0.00005140244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07293987,0.002802493,0.3559958,0.0007047173,0.0008271305,0.0007959111,0.0003845553,0.001827094,0.347354,0.0001792727,0.002024933,0.2141643],"study_design_scores_gemma":[0.004871007,0.05612237,0.8644456,0.00008706888,0.001193836,0.004522555,0.0004389441,0.004995003,0.05284374,0.0003503459,0.01007034,0.00005906722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976907,0.001120877,0.0002047022,0.0000389595,0.000006576943,0.00004671312,0.0003108059,0.0000143283,0.0005664681],"genre_scores_gemma":[0.9974338,0.0003647309,0.0006932389,0.0001081975,0.00002197537,0.0001055766,0.0006496664,0.000005874286,0.0006168206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001406483,"threshold_uncertainty_score":0.004705191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007953675982543224,"score_gpt":0.1985754318047954,"score_spread":0.1906217558222522,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}